University of California, Berkeley

How this program compares

Benchmark this program against our national recognition pages and use the key guides below to evaluate ROI, admissions difficulty, and outcomes.

Admission Snapshot

Typical admitted student: Designed for working professionals with a bachelor's degree and relevant business experience; no technical background required, though familiarity with AI concepts is beneficial.

About This Program

This short-form program bridges technical dimensions and strategic business goals to support professional leadership in AI.

Career Outcomes

Build artificial intelligence skills to advance as AI Engineer in Business AI

• 1. AI Strategy Consultant
• 2. Digital Transformation Director
• 3. AI Product Manager
• 4. Business Intelligence Lead

What You'll Learn

• Develop strategies to integrate AI into business operations for competitive advantage.
• Evaluate AI opportunities and risks using real-world case studies.
• Lead cross-functional teams in AI implementation and project management.
• Apply generative AI tools for predictive analytics and customer engagement.

Curriculum Highlights

The curriculum highlights include live sessions on business applications, prediction models, building AI teams, and addressing algorithmic bias.

Top Employers

Top employers include tech giants like Google, Amazon, and Microsoft, plus consulting firms such as McKinsey and Deloitte.

Admissions

Designed for working professionals with a bachelor's degree and relevant business experience; no technical background required, though familiarity with AI concepts is beneficial.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 2
• Resume: Required
• Transcripts: Official transcripts required

Academic Requirements

• Degree Required: Bachelor's preferred
• GRE/GMAT: Not Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)